CN102821408A - A-port and Abis-port signaling data based high-speed railway field network optimizing method - Google Patents

A-port and Abis-port signaling data based high-speed railway field network optimizing method Download PDF

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CN102821408A
CN102821408A CN2012102923981A CN201210292398A CN102821408A CN 102821408 A CN102821408 A CN 102821408A CN 2012102923981 A CN2012102923981 A CN 2012102923981A CN 201210292398 A CN201210292398 A CN 201210292398A CN 102821408 A CN102821408 A CN 102821408A
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user
speed railway
district
sub
mouth
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CN2012102923981A
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CN102821408B (en
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李华伟
张光辉
李永利
常青
彭陈发
林竹轩
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北京拓明科技有限公司
中国移动通信集团浙江有限公司
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Abstract

The invention discloses an A-port and Abis-port signaling data based high-speed railway field network optimizing method. The A-port and Abis-port signaling data based high-speed railway field network optimizing method includes steps of firstly, acquiring full-quantity signaling data of an A-port and an Abis-port of a high-speed railway community, and classifying three types of users by means of high-speed railway user classification; and setting up high-speed railway monitoring alarm systems according to user measuring reports and acquired full-quantity signaling data and user types, monitoring network KPI (key performance indicator) of three types of users in the community, determining a user with abnormality according to the monitoring results of the network KPI of the high-speed railway user in the community, accurately positioning the position of the user with abnormality, and sending an alarm. The A-port and Abis-port signaling data based high-speed railway field network optimizing method sets up monitoring systems by user classification according to different user types and realizes multi-dimensional monitoring alarm and display of the KPI of the high-speed railway, uncertain conventional problems of low sampling, high accidents and singularity of measuring terminals and the like can be effectively solved, and work efficiency of network optimization is improved.

Description

Make data in high speed railway scene network optimized approach based on A mouth and Abis message
Technical field
The present invention relates to the wireless technical communication field, particularly a kind of in the high-speed railway wireless coverage scene makes data in high speed railway scene network optimized approach based on A mouth and Abis message.
Background technology
Present domestic Development of High Speed Railway is swift and violent; High-speed railway has become the pith of railway transport of passengers; But because high-speed railway speed is fast, Doppler effect is remarkable, and high-speed railway index error and optimization means scarcity have limited carrying out in a deep going way of high-speed railway mobile communication network optimization work greatly.
The optimization of existing high-speed railway mobile communications network is mainly through following method:
(1) adds up covering high-speed railway sub-district index through the traffic measurement data, the network optimization is targetedly carried out in the unusual sub-district of index.
(2) through in a large number on the spot drive test data analyze, confirm to have abnormal problem in the high-speed railway mobile communications network.Through the test LOG playback problem analysis reason and the solution that asks a question.
(3) complain through the cellphone subscriber who collects in the high-speed railway mobile communications network, problem is handled with the mode of field test analogue mobile phone customer complaint scene, reproduction customer complaint problem.
But existing high-speed railway optimization means mainly relies on three aspects such as high-speed railway sub-district KPI (Key Performance Indicator KPI Key Performance Indicator method) index analysis, high-speed railway Drive Test Data Analysis, high-speed railway user complaint handling that the high-speed railway network is carried out problem and finds and handle, and all has certain defective:
Whether high-speed railway sub-district KPI index analysis, existing problems are found to lag behind, can not clear and definite anomalous event be that the high-speed railway user is taken place; Because the resident along the line user's index influence of high-speed railway, high-speed railway user abnormal conditions can the resident in a large number user's normal condition of quilt be flooded, can not be from conventional KPI index reflection high-speed railway user index.
The high-speed railway drive test can the real simulation user abnormality sensing; But this method is because the particularity of high-speed railway scene, time that can labor, manpower, funds etc., and drive test is sporadic big; The orientation problem difficulty; After optimizing and revising, checking adjustment result also needs test repeatedly, and the cost cost is very big.
User's high-speed railway complains problem extremely difficult through the test reproduction, and shared Remote Radio Unit is difficult for confirming when taking place unusually, and the positioning problems precision is not enough.
Summary of the invention
To the defective that exists in the prior art; The object of the present invention is to provide and a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; Realize high-speed railway mobile communications network simulation test; The orientation problem sub-district, the Remote Radio Unit to the high-speed railway user navigates to problem cells improves high-speed railway network optimization efficient.
For realizing above-mentioned purpose, the technical scheme that the present invention adopts is following:
A kind ofly make data in high speed railway scene network optimized approach, may further comprise the steps based on A mouth and Abis message:
(1) the full dose signaling data of collection high-speed railway sub-district A mouth and Abis mouth; Isolate high-speed railway resident user, high-speed railway user and highway or 3 types of users of common railway user according to high-speed railway user separation method, and definite high-speed railway user's measurement report longitude and latitude; Said full dose signaling data comprises the measurement report data of being gathered by the Abis mouth, and the switching of the conversation in the A mouth data takies the sub-district, switching resides in sub-district duration and each minizone switching sequence;
(2) obtain user's measurement report, according to user's measurement report and full dose signaling data, according to the network KPI index of user type supervisory user under the sub-district; Said KPI index comprises that the user belongs to cell name, cell identification CI, user's caller number of times, called number of times, caller connection number of times, call completing rate, cutting off rate and call delay;
(3) confirm to exist the user of anomalous event according to the network KPI index monitored results of user under the sub-district; Said anomalous event is meant that the KPI index that monitoring obtains does not meet target setting value scope;
(4) the anomalous event customer location takes place in the location, sends early warning.
Further; Aforesaidly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; In the step (1); According to the longitude and latitude of each switching point of high-speed railway and high ferro average speed, calculate the high-speed railway user at sometime measurement report longitude and latitude at each switching point.
Further; Aforesaidly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; In the step (2); The setting-up time granularity, the time granularity of residing user and highway or 3 types of user types of common railway user and setting according to high-speed railway user, high-speed railway carries out the monitoring of subzone network KPI index respectively.
Further; Aforesaidly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; In the step (3); The KPI index that said monitoring obtains does not meet target setting value scope and comprises that the call completing rate of monitoring acquisition is lower than the set point of call completing rate, and the cutting off rate that monitoring obtains is higher than the set point of cutting off rate.
Further, aforesaidly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message, said target setting value is set according to the empirical value commonly used of real network situation and index by the user.
Further; Aforesaidly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; In the step (4), the anomalous event customer location takes place and comprises that subdistrict position, location highway or the common railway user at the resident user of location high-speed railway place belong to the position of sub-district and accurately locate the Remote Radio Unit that the high-speed railway user belongs to the sub-district in the location.
Further again, aforesaidly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message, accurately locate the concrete mode that the high-speed railway user belongs to the radio frequency unit of zooming out of sub-district and be:
According to user's measurement report; The user is compared with the longitude and latitude that the user belongs to all Remote Radio Unit under the sub-district at the measurement report longitude and latitude that the anomalous event moment takes place, orientate the Remote Radio Unit position that the user belongs to the sub-district as in the immediate radio frequency of the measurement report longitude and latitude unit of zooming out that the anomalous event moment takes place with the user.
Further, aforesaidly a kind ofly make data in high speed railway scene network optimized approach, for high-speed railway user's accurate location, through calling out playback simulation and signaling playback accurate positioning time of anomalous event problem points based on A mouth and Abis message.
Beneficial effect of the present invention is:
1. accurately the position of anomalous event takes place in the location, and finds out the anomalous event problem points, can promote the operating efficiency of existing high-speed railway network optimization work to greatest extent;
2. the KPI index monitoring through being mostly promotes the specific aim that has high-speed railway network optimization index now, finds high-speed railway network existing problems fast, promotes high-speed railway user perception targetedly;
3. set up monitoring system according to three kinds of dissimilar users, the contingency that presents problem when high-speed railway is tested is reduced to minimum, comprehensive simulated high-speed railway practical problem;
4. the wireless environment situation in the time of can providing the relative users abnormal cause to analyze with unusual the generation to high-speed railway anomalous event point is confirmed anomalous event spot net optimization thinking;
5. can be foundation with a large amount of high-speed railway users, for a long time high-speed railway number of users amount, KPI index, wireless environment improvement situation monitored, can be used as and promote high-speed railway user perception foundation.
Description of drawings
Fig. 1 is a kind of flow chart that makes data in high speed railway scene network optimized approach based on A mouth and Abis message of the present invention;
Fig. 2 and Fig. 3 are the sketch map of in the high-speed railway monitoring and early warning system of setting up according to user type in the embodiment user KPI index being monitored as a result.
Embodiment
Below in conjunction with Figure of description and embodiment the present invention is done further detailed description.
The present invention be directed to the drawback that exists in the present high-speed railway optimization; Propose a kind ofly to make data in high speed railway customer separating method based on A mouth and Ab i s message; Through this method can with cover in the high-speed railway sub-district user by the high-speed railway user, along the line resident user, low speed user three types such as (comprising common railway user and highway) are distinguished along the line; The high-speed railway user index that identifies is used to assess high-speed railway wireless network situation, orients the subdistrict position that has anomalous event user place, more can accurately orient the radio frequency unit of zooming out that the high-speed railway user belongs to the sub-district; Accurately the location; Effectively single, the sporadic big and huge problem of testing cost of problem in solution field test terminal can trigger alarm to in-problem sub-district, timely so that the optimization personnel in time handle.
Fig. 1 shows that the present invention is a kind of to make data in high speed railway scene network optimized approach based on A mouth and Abis message, and this method mainly may further comprise the steps:
Step S11: separate 3 types of different type railway users through high-speed railway user separation method, obtain high-speed railway user's longitude and latitude and direction of traffic;
Gather the full dose signaling data of high-speed railway sub-district A mouth and Abis mouth; Isolate high-speed railway resident user, high-speed railway user and highway or common high ferro user according to high-speed railway user separation method, and definite high-speed railway user's measurement report longitude and latitude and high-speed railway user's direction of traffic.
The A interface is the widely used a kind of digital interface of trunk side, and the A interface definition is the communication interface between network subsystem (NSS) and base station sub-system (BSS).From system, be exactly the interface between mobile switching centre (MSC) and the base station controller (BSC), the information of this interface transmission comprises travelling carriage management, BTS management, mobile management, connection management etc.Abis interface is defined as two functional entity BSC (base station controller) of base station sub-system and the communication interface between the BTS (base transceiver station); Be used for the far-end interconnection mode between BTS and the BSC; This interface support the service that provides of oriented user, and support the control of BTS wireless device and the distribution of wireless frequency.Gather user's measurement report data MR through the Abis mouth, the user's communication switching of gathering in the A mouth data takies the sub-district, switches the duration and each the minizone switching sequence that reside in the sub-district.Through the collection of full dose signaling data, isolate type among high-speed railway resident user, high-speed railway user and highway or the common railway user 3 through the high-speed railway separation method.
Because the high-speed railway circuit confirms that high-speed railway user MR longitude and latitude must be the longitude and latitude on the high-speed railway; Can extract the longitude and latitude of each switching point of high-speed railway and the average speed between each switching point through the actual drive test data of high-speed railway (the full dose signaling data that parsing collects); Because going up in per 0.48 second, mobile phone sends out a MR measurement report; Therefore sometime longitude and latitude after can calculating the high-speed railway user and switching; Time after promptly switching according to the user confirms that this time user goes up the longitude and latitude of the MR that sends out, thereby accomplishes the location of high-speed railway user MR.In addition, can also draw high-speed railway user's direction of traffic according to high-speed railway user separation method.Separate dissimilar user and definite high-speed railway user direction of traffics through high-speed railway user separation method and in another related application, carried out detailed explanation, be not described in detail in the present invention.
Step S12: set up high-speed railway monitoring and early warning system according to user type, the network KPI index of supervisory user under the sub-district;
Obtain user's measurement report,, set up high-speed railway monitoring and early warning system, the network KPI index of supervisory user under the sub-district according to user type according to user's measurement report and full dose signaling data.In this step; With among the step S11 in isolated 3 dissimilar users' conversation be sample; Assessment high-speed railway sub-district real network coverage condition on high-speed railway; Set up the high-speed railway monitoring and early warning system of certain hour granularity (for example five minutes), can monitor high-speed railway user network KPI index situation in real time.Continue to worsen like high-speed railway user KPI index under certain sub-district, can trigger alarm, prompting optimization personnel in time handle.Wherein, The KPI index comprise the user belong to cell name, cell identification CI, user's caller number of times, called number of times, caller connect number of times, call completing rate, cutting off rate, call delay, switching times, handover success rate, total traffic, TCH telephone traffic, SD telephone traffic and on/common counter of some row such as downlink voice quality (0~5 grade) at different levels accounting; As shown in Figures 2 and 3; Through setting up high ferro monitoring and early warning system; Network KPI index to each sub-district is monitored, and can the monitored results of each index be come out through histogram graph representation through the mode among Fig. 2, can find out each monitor control index very clearly; Can certainly monitored results be shown through the mode of tendency chart among Fig. 3, the conversion trend of each index of user is analyzed.
In this step, be directed against the isolated high-speed railway user of high-speed railway user separation algorithm, resident user, high speed and 3 types of user types of common railway user, but the class of user type carries out sub-district KPI indicator-specific statistics respectively.Appearing can be by 3 network element dimensions such as sub-district, cell set, whole high ferros on the dimension; 3 user's dimensions such as high-speed railway user, highway and common railway user, the resident user of high-speed railway are carried out index and are appeared; Appear for the high-speed railway optimizing cells provides index inquiry flexibly, comprehensive assessment goes out the index situation of various user types under the high-speed railway sub-district.
Step S13: the user who confirms to exist anomalous event according to KPI index monitored results;
According to monitoring the user that the network KPI index monitored results of user under the sub-district that obtains confirms to exist anomalous event among the step S12, the KPI index that anomalous event refers to the monitoring acquisition does not meet target setting value scope.
When in step S12, setting up high-speed railway monitoring and early warning system; Can be to wherein some KPI indexs empirical value commonly used according to the network condition and the index of reality; Some KPI indexs are set; When the KPI index result of monitoring acquisition did not meet range of set value, then explanation existed network unusual.For example, for the high-speed railway user, cutting off rate is general otherwise be higher than 3% in its KPI index, so when the cutting off rate in the monitored results is higher than 3%, explain to have anomalous event.When carrying out the KPI target setting, the user can confirm as required which index is set, and promptly can set relevant KPI index according to the difference of wanting monitor control index.
Step S14: location anomalous event customer location, send early warning.
According to the user who has anomalous event who monitors among the step S13, user's position is positioned, give a warning, prompting optimization personnel in time handle.Location generation anomalous event customer location comprises that subdistrict position, location highway or the common railway user at the resident user of location high-speed railway place belong to the position of sub-district and accurately locate the Remote Radio Unit that the high-speed railway user belongs to the sub-district among the present invention.
In existing railway method for positioning user, can only navigate to the sub-district at user place usually, and method of the present invention can navigate to the Remote Radio Unit under the sub-district, improve locating accuracy, so that the optimization personnel in time handle.Can know by step S11; The present invention can be according to the converse MR that produces and combine high-speed railway MR localization method of high-speed railway user; Can obtain high-speed railway user's measurement report longitude and latitude; Promptly can obtain high-speed railway user longitude and latitude at a time; Therefore can the user be compared with the longitude and latitude that the user belongs to all Remote Radio Unit under the sub-district at the measurement report longitude and latitude that the anomalous event moment takes place according to user's measurement report, orientate the Remote Radio Unit position that the user belongs to the sub-district as in the immediate radio frequency of the measurement report longitude and latitude unit of zooming out that the anomalous event moment takes place with the user.Therefore; Method of the present invention can be conversed the high-speed railway user and produce MR and navigate to the high-speed railway Remote Radio Unit; Can be in order to up-downgoing covering and the up-downgoing quality situation that presents each Remote Radio Unit; And on GIS (Geographic Information System GIS-Geographic Information System) map, show, intuitively present high-speed railway Remote Radio Unit wireless environment situation, to continuation up-downgoing quality, the timely early warning of up-downgoing covering problem of Remote Radio Unit appearance.After the position to anomalous event positions, carry out track and localization according to the high-speed railway user anomalous event of separating, can be further through calling out functions such as playback simulation and signaling playback, accurately positioning time the anomalous event problem points.
Call out the playback simulation and can intuitively demonstrate the detail location that anomalous event takes place the user, wireless environment overview etc. when anomalous event takes place; The signaling playback can provide the anomalous event cause value from the signaling angle, provides the problem reason from the signaling aspect, and two aspects combine orientation problem reason comprehensively.The common technology means of this area when signaling playback simulation and signaling playback are no longer carried out detailed explanation at this.
The present invention covers high-speed railway sub-district A mouth and Abis mouth full dose signaling data through gathering; Isolate 3 types of dissimilar users through high-speed railway user separation method, and set up the high-speed railway monitoring and early warning system of various dimensions, the network KPI index of supervisory user under the sub-district according to user type; Find out the user who has anomalous event; Accurately early warning is sent in the position of location anomalous event generation, for the high-speed railway optimizing cells provides the basis.This method makes network optimization engineer can optimize the problem of most critical at the shortest time network through the application of high-speed railway simulation driver test system, promotes the actual index of high-speed railway network to greatest extent, from the true perception of basic lifting high-speed railway scene user.Method of the present invention can be a sample according to isolated high-speed railway user; Through high-speed railway simulation drive test; The wireless environment such as network up and down covering, up-downgoing quality of user's perception on the high-speed railway and the network KPI index situation on the high-speed railway be can intuitively demonstrate, unusual sub-district and Remote Radio Unit problem intuitively presented.Targetedly KPI index relatively poor sub-district or Remote Radio Unit are handled that (this is the problem discovery procedure; The optimization routine method is not accomplished); Find out the user's communication process of anomalous event afterwards, call out playback simulation and signaling playback, the orientation problem reason; Transfer to the network optimization personnel afterwards and handle, improve optimizing efficiency greatly.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technology thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.

Claims (8)

1. one kind makes data in high speed railway scene network optimized approach based on A mouth and Abis message, may further comprise the steps:
(1) the full dose signaling data of collection high-speed railway sub-district A mouth and Abis mouth; Isolate high-speed railway resident user, high-speed railway user and highway or 3 types of users of common railway user according to high-speed railway user separation method, and definite high-speed railway user's measurement report longitude and latitude; Said full dose signaling data comprises the measurement report data of being gathered by the Abis mouth, and the switching of the conversation in the A mouth data takies the sub-district, switching resides in sub-district duration and each minizone switching sequence;
(2) obtain user's measurement report, according to user's measurement report and full dose signaling data, according to the network KPI index of user type 3 types of users of monitoring under the sub-district; Said KPI index comprises that the user belongs to cell name, cell identification CI, user's caller number of times, called number of times, caller connection number of times, call completing rate, cutting off rate and call delay;
(3) confirm to exist the user of anomalous event according to the network KPI index monitored results of user under the sub-district; Said anomalous event is meant that the KPI index that monitoring obtains does not meet target setting value scope;
(4) the anomalous event customer location takes place in the location, sends early warning.
2. as claimed in claim 1ly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; It is characterized in that: in the step (1); According to the longitude and latitude of each switching point of high-speed railway and high ferro average speed, calculate the high-speed railway user at sometime measurement report longitude and latitude at each switching point.
3. according to claim 1 or claim 2 a kind of makes data in high speed railway scene network optimized approach based on A mouth and Abis message; It is characterized in that: in the step (2); The setting-up time granularity; According to the resident user of high-speed railway user, high-speed railway and highway or 3 types of user types of common railway user, 3 types and the time granularity set carry out the monitoring of subzone network KPI index respectively.
4. as claimed in claim 3ly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; It is characterized in that: in the step (3); The KPI index that said monitoring obtains does not meet target setting value scope and comprises that the call completing rate of monitoring acquisition is lower than the set point of call completing rate, and the cutting off rate that monitoring obtains is higher than the set point of cutting off rate.
5. as claimed in claim 4ly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message, it is characterized in that: said target setting value is set according to the empirical value commonly used of real network situation and index by the user.
6. as claimed in claim 1ly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; It is characterized in that: in the step (4), the anomalous event customer location takes place and comprises that subdistrict position, location highway or the common railway user at the resident user of location high-speed railway place belong to the position of sub-district and accurately locate the Remote Radio Unit that the high-speed railway user belongs to the sub-district in the location.
7. as claimed in claim 6ly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message, it is characterized in that: accurately locating the concrete mode that the high-speed railway user belongs to the radio frequency unit of zooming out of sub-district is:
According to user's measurement report; The user is compared with the longitude and latitude that the user belongs to all Remote Radio Unit under the sub-district at the measurement report longitude and latitude that the anomalous event moment takes place, orientate the Remote Radio Unit position that the user belongs to the sub-district as in the immediate radio frequency of the measurement report longitude and latitude unit of zooming out that the anomalous event moment takes place with the user.
8. as claimed in claim 7ly a kind ofly make data in high speed railway scene network optimized approach based on A mouth and Abis message; It is characterized in that: for high-speed railway user's accurate location, through calling out playback simulation and signaling playback accurate positioning time of anomalous event problem points.
CN201210292398.1A 2012-08-16 2012-08-16 A-port and Abis-port signaling data based high-speed railway field network optimizing method CN102821408B (en)

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